Medical Time Series Classification on APAVA 2-Classes
80.29AccuracyTS-Fingerprint
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| TS-Fingerprint2026.04 | 80.29 | 81.62 | 77.61 | 78.5 | 86.49 | |
| Medformer2026.04 | 78.74 | 81.11 | 75.4 | 76.31 | 83.2 | |
| Reformer2026.04 | 78.7 | 82.5 | 75 | 75.93 | 73.94 | |
| Transformer2026.04 | 76.3 | 77.64 | 73.09 | 73.75 | 73.23 | |
| FEDformer2026.04 | 74.94 | 74.59 | 73.56 | 73.51 | 83.72 | |
| iTransformer2026.04 | 74.55 | 74.77 | 71.76 | 72.3 | 85.59 | |
| Crossformer2026.04 | 73.77 | 79.29 | 68.86 | 68.93 | 82.39 | |
| Informer2026.04 | 73.11 | 75.17 | 69.17 | 69.47 | 70.46 | |
| Nonformer2026.04 | 71.89 | 71.8 | 69.44 | 69.74 | 70.55 | |
| MTST2026.04 | 71.14 | 79.3 | 65.27 | 67.01 | 68.87 | |
| Autoformer2026.04 | 68.64 | 68.48 | 68.77 | 68.06 | 75.94 | |
| PatchTST2026.04 | 67.03 | 78.76 | 59.91 | 55.97 | 65.65 |